\name{pRRopheticQQplot}
\alias{pRRopheticQQplot}
\title{Check the distribution of the drug response (IC50) data using a QQ-plot.}
\usage{
pRRopheticQQplot(drug)
}
\arguments{
  \item{drug}{the name of the drug for which you would like
  to predict sensitivity, one of A.443654, A.770041,
  ABT.263, ABT.888, AG.014699, AICAR, AKT.inhibitor.VIII,
  AMG.706, AP.24534, AS601245, ATRA, AUY922, Axitinib,
  AZ628, AZD.0530, AZD.2281, AZD6244, AZD6482, AZD7762,
  AZD8055, BAY.61.3606, Bexarotene, BI.2536, BIBW2992,
  Bicalutamide, BI.D1870, BIRB.0796, Bleomycin, BMS.509744,
  BMS.536924, BMS.708163, BMS.754807, Bortezomib,
  Bosutinib, Bryostatin.1, BX.795, Camptothecin, CCT007093,
  CCT018159, CEP.701, CGP.082996, CGP.60474, CHIR.99021,
  CI.1040, Cisplatin, CMK, Cyclopamine, Cytarabine,
  Dasatinib, DMOG, Docetaxel, Doxorubicin, EHT.1864,
  Elesclomol, Embelin, Epothilone.B, Erlotinib, Etoposide,
  FH535, FTI.277, GDC.0449, GDC0941, Gefitinib,
  Gemcitabine, GNF.2, GSK269962A, GSK.650394, GW.441756,
  GW843682X, Imatinib, IPA.3, JNJ.26854165, JNK.9L,
  JNK.Inhibitor.VIII, JW.7.52.1, KIN001.135, KU.55933,
  Lapatinib, Lenalidomide, LFM.A13, Metformin,
  Methotrexate, MG.132, Midostaurin, Mitomycin.C, MK.2206,
  MS.275, Nilotinib, NSC.87877, NU.7441, Nutlin.3a,
  NVP.BEZ235, NVP.TAE684, Obatoclax.Mesylate, OSI.906,
  PAC.1, Paclitaxel, Parthenolide, Pazopanib, PD.0325901,
  PD.0332991, PD.173074, PF.02341066, PF.4708671,
  PF.562271, PHA.665752, PLX4720, Pyrimethamine, QS11,
  Rapamycin, RDEA119, RO.3306, Roscovitine, Salubrinal,
  SB.216763, SB590885, Shikonin, SL.0101.1, Sorafenib,
  S.Trityl.L.cysteine, Sunitinib, Temsirolimus,
  Thapsigargin, Tipifarnib, TW.37, Vinblastine,
  Vinorelbine, Vorinostat, VX.680, VX.702, WH.4.023,
  WO2009093972, WZ.1.84, X17.AAG, X681640, XMD8.85,
  Z.LLNle.CHO, ZM.447439.}
}
\description{
Visualize the distribution of the transformed IC50 data for
a drug of interest using a QQ plot. If the distribution of
the IC50 values deviates wildly from a normal distribtion,
it is likely not suitalbe for prediction using a linear
model (like linear ridge regression). This drug may be more
suitable to constructing a model using a logistic or other
type of model.
}

